Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Built-in Fault-Tolerant Computing Paradigm for Resilient Large-Scale Chip Design
With the end of Dennard scaling and Moore’s law, IC chips, especially large-scale ones, now face more reliability challenges, and reliability has become one of the mainstay merits of VLSI designs. In this context, this book presents a built-in on-chip fault-tolerant computing paradigm that seeks to combine fault detection, fault diagnosis, and error recovery in large-scale VLSI design in a unified manner so as to minimize resource overhead and performance penalties. Following this computing paradigm, we propose a holistic solution based on three key components: self-test, self-diagnosis and self-repair, or “3S” for short. We then explore the use of 3S for general IC designs, general-pu...
Applied Electrostatics (ICAES 2004)
This proceedings contains papers presented at the 5th International Conference on Applied Electrostatics held in Shanghai, China on November 2--5,2004. The ICAES 2004 Conference is of wide interest, as is shown by the contributions received from 11 countries and districts throughout the world. About 90 researchers attend the conference and more than 100 papers were submitted for presentation in the proceedings. The paper sessions covered following topics: - fundamentals and physics - applications (precipitation, pollution control, spray, separation, material, Ozone, etc.) - hazards and problems - biology technology - electrets - measuring technology - electromagnetic compatibility and others These papers demonstrated recent research level and developing trends of the entire electrostatic field.
Human Centered Computing
This book constitutes thoroughly reviewed, revised and selected papers from the 5th International Conference on Human Centered Computing, HCC 2019, held in Čačak, Serbia, in August 2019. The 48 full and 23 short papers presented in this volume were carefully reviewed and selected from a total of 133 submissions. The papers focus on deep learning and its applications on a variety of real-life problems, ranging from image/video analysis, to human-computer interaction, and to logistics and supply chain management.
Data Science
This two volume set (CCIS 727 and 728) constitutes the refereed proceedings of the Third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017 (originally ICYCSEE) held in Changsha, China, in September 2017. The 112 revised full papers presented in these two volumes were carefully reviewed and selected from 987 submissions. The papers cover a wide range of topics related to Basic Theory and Techniques for Data Science including Mathematical Issues in Data Science, Computational Theory for Data Science, Big Data Management and Applications, Data Quality and Data Preparation, Evaluation and Measurement in Data Science, Data Visualization, Big Data Mi...
New evidence on the Psychological Impacts and Consequences of Covid-19 on Mental Workload Healthcare Workers in Diverse Regions in the World
The Covid-19 pandemic has had a significant global impact on our daily lives. At the center of the pandemic are healthcare workers who have faced a great psychological burden in attempting to counter the virus in both short and long terms contexts. The goal of this Research Topic is to offer new evidence on the mental health experiences of healthcare workers under the Covid 19 pandemic by taking on a broad global perspective. We are particularly interested in new evidence that extends the existing meta-analyses on the topic to build further knowledge.
Distributional Semantics
This book provides a comprehensive foundation of distributional methods in computational modeling of meaning. It aims to build a common understanding of the theoretical and methodological foundations for students of computational linguistics, natural language processing, computer science, artificial intelligence, and cognitive science.
Low-Power Computer Vision
Energy efficiency is critical for running computer vision on battery-powered systems, such as mobile phones or UAVs (unmanned aerial vehicles, or drones). This book collects the methods that have won the annual IEEE Low-Power Computer Vision Challenges since 2015. The winners share their solutions and provide insight on how to improve the efficiency of machine learning systems.
Technologies for E-Learning and Digital Entertainment
This book constitutes the refereed proceedings of the First International Conference on E-learning and Games, Edutainment 2006, held in Hangzhou, China in April 2006. The 121 revised full papers and 52 short papers presented together with the abstracts of 3 invited papers and those of the keynote speeches cover a wide range of topics, including e-learning platforms and tools, learning resource management, practice and experience sharing, e-learning standards, and more.
The 2021 International Conference on Smart Technologies and Systems for Internet of Things
This book contains papers presented at the 2021 International Conference on Smart Technologies and Systems for Internet of Things, held on November 26–27, 2021, in Shanghai, China. It covers topics like distributed processing for sensor data in CPS networks, approximate reasoning and pattern recognition for CPS networks, distributed processing in mobile networking, data analytics for social media sensor data integration, data platforms for efficient integration with CPS networks, virtualized and cloud-oriented resources for data processing for CPS networks, machine learning algorithms for CPS networks, data security and privacy in CPS networks, sensor fusion algorithms, sensor signal processing, data acquisition and preprocessing technology, intelligent computing, data mining methods and algorithms, big data system solutions and tools platform, intelligent control and intelligent management, and operational situation awareness utilizing big data-driven intelligence. It caters to postgraduate students, researchers, and practitioners specializing and working in related areas.
